Evidence map›Paper›PMID 37032828›Full record

ReviewFrontiers in aging neuroscience2023

Postural control of Parkinson's disease: A visualized analysis based on Citespace knowledge graph.

Yan Li, Jie-Jiao Zheng, Xie Wu, Wen Gao, Chan-Jing Liu

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 6 pooled it
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 6 syntheses or guidelines pooled it, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Yan LiDepartment of Rehabilitation Medicine, Huadong Hospital, Fudan University, Shanghai, China.
Jie-Jiao ZhengDepartment of Rehabilitation Medicine, Huadong Hospital, Fudan University, Shanghai, China.
Xie WuDepartment of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China.
Wen GaoDepartment of Rehabilitation Medicine, Huadong Hospital, Fudan University, Shanghai, China.
Chan-Jing LiuDepartment of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China.
Fudan University · CNShanghai University of Sport · CNShanghai Clinical Research Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postural control impairment is one of the primary motor symptoms in patients with Parkinson's disease, leading to an increased risk of falling. Several studies have been conducted on postural control disorders in Parkinson's disease patients, but no relevant bibliometric analysis has been found. In this paper, the Web of Science Core Collection database was searched for 1,295 relevant papers on postural control in Parkinson's disease patients from December 2011 to December 2021. Based on the Citespace knowledge graph, these relevant papers over the last decade were analyzed from the perspectives of annual publication volume, countries and institutes cooperation, authors cooperation, dual-map overlay of journals, co-citation literature, and keywords. The purpose of this study was to explore the current research status, research hotspots, and frontiers in this field, and to provide a reference for further promoting the research on postural control in Parkinson's disease patients.

Indexed as

bibliometricsCitespaceknowledge graphParkinson’s diseasepostural balance (MeSH)postural controlvisualization

Identifiers

PMID37032828
PMCPMC10080997
OpenAlexW4360850972

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.